• A machine learning approach for gesture recognition with a lensless smart sensor system 

  Normani, Niccolo; Urru, Andrea; Abraham, Lizy; Walsh, Michael; Tedesco, Salvatore; Cenedese, Angelo; Susto, Gian Antoino; O'Flynn, Brendan (2018-03)

  Hand motion tracking traditionally requires highly complex and expensive systems in terms of energy and computational demands. A low-power, low-cost system could lead to a revolution in this field as it would not require ...
• Development of an electrochemical caffeine sensor for PAT application in the food and beverage industry 

  Scanlon, Shauna; Messina, Walter; Moore, Eric; Rothwell, Sharon; Harrison, Scott (Institute of Electrical and Electronics Engineers (IEEE), 2017-10)

  This work reports on the development of an electrochemical sensor for on-line caffeine detection using screen printed graphite electrodes. The effects of solution pH and pre-treatment procedures on electrode performance ...
• Long range LiDAR characterisation for obstacle detection for use by the visually impaired and blind 

  O'Keeffe, Rosemary; O'Murchu, Cian; Mathewson, Alan; Gnecchi, Salvatore; Buckley, Steve (2018-04)

  Obstacle detection has become a very important area of interest for the automotive industry due to the move towards autonomous vehicles. Since the environment the vehicle has to navigate is ever changing the current best ...
• Long range LiDAR characterisation for obstacle detection for use by the visually impaired and blind 

  O'Keeffe, Rosemary; Gnecchi, Salvatore; Buckley, Steve; O'Murchu, Cian; Mathewson, Alan; Lesecq, Suzanne; Foucault, Julie (Institute of Electrical and Electronics Engineers (IEEE), 2018-06)

  Obstacle detection and avoidance is a huge area of interest for autonomous vehicles and, as such, has become an important research topic. Detecting and identifying obstacles enables navigation through an ever changing ...
• The volume scanner optical performance 

  Vafa, Elham; Holdsworth, John; Sharafutdinova, Galiya; Andersson-Engels, Stefan (Society of Photo-optical Instrumentation Engineers (SPIE), 2017)

  The optical performance of a volume scanner is analyzed using modelling software. The existence of an embedded scattering volume with a 2.5% difference in scattering coefficient from the host media may be detected.

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